ppgmmga (1.2)

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Projection Pursuit Based on Gaussian Mixtures and Evolutionary Algorithms.

https://github.com/luca-scr/ppgmmga
http://cran.r-project.org/web/packages/ppgmmga

Projection Pursuit (PP) algorithm for dimension reduction based on Gaussian Mixture Models (GMMs) for density estimation using Genetic Algorithms (GAs) to maximise an approximated negentropy index. For more details see Scrucca and Serafini (2019) .

Maintainer: Alessio Serafini
Author(s): Alessio Serafini [aut, cre] (<https://orcid.org/0000-0002-8579-5695>), Luca Scrucca [aut] (<https://orcid.org/0000-0003-3826-0484>)

License: GPL (>= 2)

Uses: cli, crayon, GA, ggplot2, ggthemes, mclust, Rcpp, knitr

Released 5 months ago.


3 previous versions

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